Kev-0.5B

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Open100–300ms$0/M input

Quadrant scores

See the full quadrant

Scored with the public quadrant rubric (maturity × capability; bubble = adoption). Revise as evidence lands.

  • Maturity5/10

    Open weights and a documented local System One–compatible API score well for access; no hosted SLA and a research footprint keep maturity mid-pack.

  • Capability6.2/10

    Supports choice / score / boolean with usable laptop latency; author calib looks fine in-distribution, but transfer vs Jev is self-reported and weaker OOD.

  • Adoption8/100

    Niche GitHub/HF interest among builders reconstructing Jev; almost no general awareness outside that circle.

Vendor claims

Kev is not a frontier model — it is a LoRA adapter + readout head on top of Qwen2.5-0.5B, an open reconstruction of the System One / Jev contract by Jared Palmer.

It reads a document once and answers many typed questions in parallel in a single prefill pass — no autoregressive decode. Question types: noul (yes/no → catalog boolean), choice, and score. Output is a calibrated distribution over options, not prose.

What it is

See also the catalog entry for the closed reference product: Jev.

Limits (read before you ship)

  • Author label: research prototype — “not a production model and it is not Jev”
  • Backbone is 0.5B; author reports ~−19pp transfer gap vs Jev off training distribution (self-reported)
  • Residual option-order sensitivity (~7% argmax flips in author tests)
  • Local serve, no auth — fine for laptop demos, not a hosted waitlist SLA
  • Do not use for production decisions that affect people without your own labelled eval

Why it is in the catalog

Public typed decision I/O, documented System One-compatible API, and open weights. It sits next to Jev as an open / local point on the quadrant — with artifactKind: lora-adapter so the card does not pretend this is a frontier base model.